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International Journal of Computational Intelligence Systems Volume 9, 2016 - Issue 1
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Original Articles

Intelligent Decision Support System for Real-Time Water Demand Management

Borja PonteBusiness Administration Department, University of Oviedo Polytechnic School of Engineering, Campus de Viesques s/n Gijón, 33204, SpainCorrespondence[email protected]
,
David de la FuenteBusiness Administration Department, University of Oviedo Polytechnic School of Engineering, Campus de Viesques s/n Gijón, 33204, SpainCorrespondence[email protected]
,
José ParreñoBusiness Administration Department, University of Oviedo Polytechnic School of Engineering, Campus de Viesques s/n Gijón, 33204, SpainCorrespondence[email protected]
&
Raúl PinoBusiness Administration Department, University of Oviedo Polytechnic School of Engineering, Campus de Viesques s/n Gijón, 33204, SpainCorrespondence[email protected]
Pages 168-183 | Received 17 Jan 2015, Accepted 01 Jan 2016, Published online: 03 Feb 2016

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Yanhu He, Xiaohong Chen, Zhuping Sheng, Kairong Lin & Faliang Gui. (2018) Water allocation under the constraint of total water-use quota: a case from Dongjiang River Basin, South China. Hydrological Sciences Journal 63:1, pages 154-167.
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Articles from other publishers (7)

Barun Kumar Thakur, Debi Prasad Bal, Md Nurujjaman & Kanish Debnath. (2023) Developing a model for residential water demand in the Indian Himalayan Region of Ravangla, South Sikkim, India. Groundwater for Sustainable Development 21, pages 100923.
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Manar Abu Talib, Mohamed Abdallah, Abdulrahman Abdeljaber & Omnia Abu Waraga. (2023) Influence of exogenous factors on water demand forecasting models during the COVID-19 period. Engineering Applications of Artificial Intelligence 117, pages 105617.
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Hans Peter Nachtnebel & K. D. Wasantha Nandalal. 2021. Handbook of Water Resources Management: Discourses, Concepts and Examples. Handbook of Water Resources Management: Discourses, Concepts and Examples 527 562 .
Vinícius Borges Martins & Diana Francisca Adamatti. 2021. Distributed Computing and Artificial Intelligence, 17th International Conference. Distributed Computing and Artificial Intelligence, 17th International Conference 221 230 .
Abdullahi Uwaisu Muhammad, Xiaodong Li & Jun Feng. 2019. Machine Learning and Intelligent Communications. Machine Learning and Intelligent Communications 595 622 .
Jing Wang, Kun Yu, Xianmin Zhu, Feng Zhu, Miao Tian & Zhiming Wang. (2018) Monitoring of Rice Leaf Folder Damage Based on Remote Sensing Methods. Monitoring of Rice Leaf Folder Damage Based on Remote Sensing Methods.
Dominik Ślęzak, Marek Grzegorowski, Andrzej Janusz, Michał Kozielski, Sinh Hoa Nguyen, Marek Sikora, Sebastian Stawicki & Łukasz Wróbel. (2018) A framework for learning and embedding multi-sensor forecasting models into a decision support system: A case study of methane concentration in coal mines. Information Sciences 451-452, pages 112-133.
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